In this Foojay podcast, we enter the world of mathematics by discussing Vectors and how they are crucial for AI and machine learning.
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Writing a Data Orchestrator in Java
What makes Kestra unique amongst all the data orchestrators and how to leverage the power of the Java platform and its ecosystem to build a performant, scalable, and feature-rich data orchestrator.
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Managing Data Residency: The Demo
In this article, implement Data Residency within a simple architecture, thanks to Apache APISIX and Apache ShardingSphere.
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Managing Data Residency: Concepts & Theory
Take a look at data residency and design a draft architecture to implement it. In the next article, we will delve into the technical details.
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Ingesting Time-Series Events from Kafka into QuestDB
Ingest streaming time-series data from Apache Kafka into QuestDB using ILP with the Kafka Sink Connector
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Structured Error Messages for HTTP APIs
RFC 7807 helps API implementors as it provides quick guidelines to avoid reinventing the wheel on every project.
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Chronicle Queue Storing 1TB in Virtual Memory on a 128GB Machine
Chronicle Queue and Chronicle Map allows you to have a persisted store which can be embedded into multiple JVMs on the same server.
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MicroStream – Part 5: Caching, Integrations and Clustering
In this article, we discuss MicroStream caching and clustering functionality. We also indicate the available integrations.
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MicroStream – Part 4: Serialisation Engine
In this fourth part we go deeper into the Serialisation engine that is within MicroStream to store the Object graph in a binary format. In the previous articles (part 1, part 2 and part 3), we have already mentioned that MicroStream …
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MicroStream – Part 3: Storing Data
In the third article in the introductory MicroStream series, we discuss the key strategies for storing your data.
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MicroStream – Part 2: Configure the Storage Manager
In this second article in the series, we cover how to get started configuring the StorageManager of MicroStream!
